Integrating network pharmacology and Mendelian randomization to explore potential targets of matrine against ovarian

Xiaoqun Chen1, Yingliang Song2

  • 1Department of Ultrasound, Affiliated Hospital of Shaoxing University (The Shaoxing Municipal Hospital), Shaoxing, Zhejiang, China.

Abstract

Insights

Matrine exhibits inhibitory effects on ovarian cancer (OC) by targeting key genes like TP53 and CCND1. This study identifies six core targets, offering insights into matrine

Area of Science:

  • Oncology
  • Pharmacology
  • Molecular Biology

Background:

  • Matrine demonstrates inhibitory effects on ovarian cancer (OC) progression and apoptosis.
  • The precise molecular targets and mechanisms of matrine in OC remain largely unknown.

Purpose of the Study:

  • To identify potential molecular targets of matrine against OC.
  • To elucidate the relationship between these targets and OC pathogenesis.

Main Methods:

  • Investigated matrine's effects on OC cell viability, apoptosis, migration, and invasion.
  • Utilized bioinformatics analyses (PPI network, Venn diagrams) on public databases to identify core targets.
  • Validated target expression and causal associations using GEPIA, Mendelian randomization, molecular docking, and RT-qPCR.

Main Results:

  • Matrine reduced OC cell viability, migration, and invasion, while increasing apoptosis.
  • Six core targets (TP53, CCND1, STAT3, IL1B, VEGFA, CCL2) were identified.
  • TP53 and CCND1 were identified as risk factors for OC; matrine showed binding potential to TP53, CCND1, and IL1B, modulating their expression in OC cells.

Conclusions:

  • Identified six matrine-related targets providing novel insights into its therapeutic mechanisms against OC.
  • Findings guide the development of more effective and targeted therapeutic strategies for OC treatment.